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8 changes: 7 additions & 1 deletion scripts/strip_vision_weights.py
Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@ def main() -> int:
return 0

shards = sorted({wm[k] for k in vs})
total_saved = 0
for shard_name in shards:
path = d / shard_name
hdr, data_start = read_shard(path)
Expand Down Expand Up @@ -77,11 +78,16 @@ def main() -> int:
f.write(out)
saved = sum(hdr[k]["data_offsets"][1] - hdr[k]["data_offsets"][0]
for k in drop)
total_saved += saved
print(f"{shard_name}: dropped {len(drop)} tensors, "
f"{saved/1e9:.2f} GB, new size {path.stat().st_size/1e9:.2f} GB")

# index: remove vision keys
# index: remove vision keys and recompute total_size by the same
# amount actually dropped from the shards above (untouched shards'
# bytes are unaffected, so this equals recomputing from scratch)
idx["weight_map"] = {k: v for k, v in wm.items() if k not in vs}
if "total_size" in idx.get("metadata", {}):
idx["metadata"]["total_size"] -= total_saved
if not args.no_backup:
shutil.copy2(idx_path, idx_path.with_suffix(".json.bak_vision"))
json.dump(idx, open(idx_path, "w"), indent=2)
Expand Down
87 changes: 87 additions & 0 deletions tests/test_strip_vision_weights.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,87 @@
"""scripts/strip_vision_weights.py: index bookkeeping after stripping.

Builds a minimal two-tensor safetensors shard (one vision, one text) by
hand so the test needs neither MLX nor a real checkpoint.
"""

from __future__ import annotations

import importlib.util
import json
import struct
import sys
from pathlib import Path

ROOT = Path(__file__).resolve().parents[1]


def _load_strip_vision_weights():
spec = importlib.util.spec_from_file_location(
"strip_vision_weights", ROOT / "scripts" / "strip_vision_weights.py")
mod = importlib.util.module_from_spec(spec)
sys.modules[spec.name] = mod
spec.loader.exec_module(mod)
return mod


def _write_shard(path: Path, hdr: dict, data: bytes) -> None:
hdr_bytes = json.dumps(hdr).encode()
pad = (8 - (len(hdr_bytes) % 8)) % 8
hdr_bytes += b" " * pad
with open(path, "wb") as f:
f.write(struct.pack("<Q", len(hdr_bytes)))
f.write(hdr_bytes)
f.write(data)


def _make_checkpoint(model_dir: Path) -> None:
# 4 bytes of vision tensor, 4 bytes of text tensor.
hdr = {
"__metadata__": {"format": "pt"},
"vision_tower.a": {"dtype": "F32", "shape": [1],
"data_offsets": [0, 4]},
"model.layers.0.w": {"dtype": "F32", "shape": [1],
"data_offsets": [4, 8]},
}
_write_shard(model_dir / "model.safetensors", hdr, b"\x00" * 8)
idx = {
"metadata": {"total_size": 8},
"weight_map": {
"vision_tower.a": "model.safetensors",
"model.layers.0.w": "model.safetensors",
},
}
(model_dir / "model.safetensors.index.json").write_text(json.dumps(idx))


def test_total_size_shrinks_by_dropped_bytes(tmp_path, monkeypatch):
_make_checkpoint(tmp_path)
mod = _load_strip_vision_weights()
monkeypatch.setattr(
sys, "argv", ["strip_vision_weights.py", str(tmp_path)])
assert mod.main() == 0

idx = json.loads(
(tmp_path / "model.safetensors.index.json").read_text())
assert "vision_tower.a" not in idx["weight_map"]
assert idx["metadata"]["total_size"] == 4 # 8 - 4 dropped vision bytes


def test_no_vision_weights_leaves_total_size_untouched(tmp_path, monkeypatch):
hdr = {"model.layers.0.w": {"dtype": "F32", "shape": [1],
"data_offsets": [0, 4]}}
_write_shard(tmp_path / "model.safetensors", hdr, b"\x00" * 4)
idx = {
"metadata": {"total_size": 4},
"weight_map": {"model.layers.0.w": "model.safetensors"},
}
(tmp_path / "model.safetensors.index.json").write_text(json.dumps(idx))

mod = _load_strip_vision_weights()
monkeypatch.setattr(
sys, "argv", ["strip_vision_weights.py", str(tmp_path)])
assert mod.main() == 0

idx_after = json.loads(
(tmp_path / "model.safetensors.index.json").read_text())
assert idx_after == idx # untouched: nothing to strip
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